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Updates every hour. Last Updated: 4-Jan-2026 19:11 ET (5-Jan-2026 00:11 GMT/UTC)
Economic "uncertainty aversion" distorts asset prices and widens wealth gap
Shanghai Jiao Tong University Journal CenterThis study explores the profound implications of ambiguity aversion for asset price dynamics and wealth distribution. In a continuous-time macroeconomic model with heterogeneous agents and financial frictions, we demonstrate analytically and numerically that ambiguity aversion leads to a lower risk-free rate, reduced consumption, higher precautionary savings, and wealth redistribution, resulting in significant asset price misalignment. These distortions cause universal welfare loss, making a case for policy intervention. We find that while distortionary capital taxes can mitigate price misalignment, conventional monetary policy, if well-calibrated, can reduce distortions and improve welfare without such trade-offs.
- Journal
- China Finance Review International
Navigating the storm: Climate policy uncertainty drives companies to improve ESG performance
Shanghai Jiao Tong University Journal CenterA new large-scale study reveals that uncertainty in climate policy (CPU) is a significant driver for improving corporate Environmental, Social, and Governance (ESG) performance. Analysing data from 4,490 Chinese listed companies (2011-2022), researchers found a strong positive correlation between CPU and ESG scores. The primary motivation is risk mitigation: companies facing higher systemic risk use enhanced ESG performance as a strategic shield. The effect is most pronounced in non-state-owned enterprises, heavy-polluting industries, and highly competitive markets. The findings provide crucial insights for businesses strengthening sustainability strategies and for policymakers aiming to foster resilient, low-carbon economic growth.
- Journal
- China Finance Review International
Turning hazelnut shells into powerful catalysts for clean hydrogen production
Biochar Editorial Office, Shenyang Agricultural University- Journal
- Biochar
Machine learning unlocks the power of biochar: A game-changer for dye removal
Biochar Editorial Office, Shenyang Agricultural UniversityIn a remarkable stride towards environmental sustainability, researchers at the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India, have developed a novel approach to predict the adsorption capacity of biochar using machine learning. This breakthrough, detailed in their latest study titled "Machine Learning-Driven Prediction of Biochar Adsorption Capacity for Effective Removal of Congo Red Dye," offers a powerful solution to combat dye pollution.
- Journal
- Carbon Research
Almost half of all nursing home staff witness elderly abuse by relatives
Norwegian University of Science and Technology- Journal
- BMC Geriatrics
From gene clusters to medicine: researchers decode the full genome of Centella asiatica
Nanjing Agricultural University The Academy of Science- Journal
- Horticulture Research
A newly identified ethylene–melatonin cascade boosts polyphenol biosynthesis in grape seeds
Nanjing Agricultural University The Academy of ScienceEthylene is known to influence fruit physiology, but its specific role in regulating phenolic metabolism in grape seeds has remained unclear.
- Journal
- Horticulture Research
Physics as a mountain landscape
University of KonstanzPhysicists and mathematicians at the University of Konstanz, ETH Zürich (Switzerland) and CNR INO in Trento (Italy) use concepts from topography to topologically classify and investigate driven-dissipative nonlinear systems and their abrupt phase transitions. To explain how this works, they use the image of a mountainous landscape.
- Journal
- Science Advances
Shifting bloom times helps crops beat rising heat
Maximum Academic Press- Journal
- Seed Biology